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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Not Very Resilient
Last Update: 4/23/2026
Your role’s AI Resilience Score is
24.0%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forWeighers, Measurers, Checkers, and Samplers, Recordkeeping
Weighers, Measurers, Checkers, and Samplers, Recordkeeping are less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
This career is labeled as "Not Very Resilient" because many of the routine tasks, like weighing, measuring, and recordkeeping, are being automated with machines and software. Technology such as robots, barcode scanners, and inventory systems can handle these tasks faster and more accurately, reducing the need for people to perform them manually.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is not very resilient
This career is labeled as "Not Very Resilient" because many of the routine tasks, like weighing, measuring, and recordkeeping, are being automated with machines and software. Technology such as robots, barcode scanners, and inventory systems can handle these tasks faster and more accurately, reducing the need for people to perform them manually.
Read full analysisAnalysis of Current AI Resilience
Weighers & Measurers
Updated Quarterly • Last Update: 2/17/2026
How is AI changing Weighers & Measurers jobs?
These jobs involve routine tasks like weighing, sticking on labels, checking packing lists, and counting items. In many warehouses today those steps are already partly automated. For example, high-speed conveyors with barcode scanners can read and sort packages automatically [1].
Some companies even use drones or cameras to “see” and count inventory on shelves [1]. Robots and machines handle heavy lifting and repeats – moving packed pallets or sorting boxes – so people can focus on other work [2] [3]. Even Amazon reports that robots pick and move items, while staff train and maintain them rather than lift every parcel by hand [3] [2].
Paperwork and records are also being upgraded. Today most keep tracking in software: inventory systems automatically log weights or test results instead of writing them by hand [2]. U.S. labor data notes that clerks “document quantity, quality, [and] weight” of goods [4], but now this is often done on a computer or tablet.
Still, people review the results. For example, workers are needed to spot if a damaged item got through or if a machine’s record doesn’t match the real shipment. In short, AI and automation help speed up counting and checking, but humans still guide, double-check, and control the process [3] [2].
Sources
How fast is AI adoption growing for Weighers & Measurers?
Companies have several reasons to adopt AI tools quickly. Rising wages and worker shortages in warehouses encourage automation [2]. Faster delivery demands push businesses to work more quickly and accurately – technology can help speed orders and reduce errors (and even cut lifting injuries) [3] [2].
Analysts note that robots excel at dull, heavy tasks, freeing humans for more interesting work [2] [3]. When automation clearly boosts speed or safety, companies adopt it eagerly.
However, adoption also faces hurdles. Warehouse robots and AI systems cost a lot upfront, and they must last for years. One industry report found automation spending growing slowly (only ~3–5% per year) in logistics because firms move cautiously [1].
Experts point out the hard part is integrating AI with existing software and workflows: robots only help if they connect smoothly to inventory databases and processes [5] [1]. Regulation and human trust can slow things too – many customers still expect a person to verify quality. In practice, automation has to prove its value before replacing people.
Overall, the shift is gradual: technology tools help with counting and checking, but human skills like noticing mistakes and solving problems remain valuable [3] [5].
Sources
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More Career Info
Career: Weighers, Measurers, Checkers, and Samplers, Recordkeeping
They ensure products meet standards by weighing, measuring, and checking them, then recording the results to keep everything accurate and organized.
Parent Careers
Employment & Wage Data
Median Wage
$45,650
Jobs (2024)
49,800
Growth (2024-34)
-4.8%
Annual Openings
5,300
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Inspect incoming loads of waste to identify contents and to screen for the presence of specific regulated or hazardous wastes.
2
Unload or unpack incoming shipments.
3
Prepare measurement tables and conversion charts, using standard formulas.
4
Maintain financial records, such as accounts of daily collections and billings, and records of receipts issued.
5
Sort products or materials into predetermined sequences or groupings for display, packing, shipping, or storage.
6
Examine products or materials, parts, subassemblies, and packaging for damage, defects, or shortages, using specification sheets, gauges, and standards charts.
7
Collect or prepare measurement, weight, or identification labels and attach them to products.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
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